Triple
T18934980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 46 (Shenzhen Metro) |
E463218
|
entity |
| Predicate | plannedForUse |
P12134
|
FINISHED |
| Object | passenger transport |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: passenger transport | Statement: [Line 46 (Shenzhen Metro), plannedForUse, passenger transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedForUse Context triple: [Line 46 (Shenzhen Metro), plannedForUse, passenger transport]
-
A.
plannedUseOf
chosen
Indicates that one entity is intended or designated to be used for a specific purpose, function, or activity involving another entity.
-
B.
plannedAt
Indicates that an event, action, or activity is scheduled or intended to occur at a specific time or date.
-
C.
plannedIn
Indicates that an event, activity, or process is scheduled or arranged to occur within a specific context, timeframe, or plan.
-
D.
plannedFrom
Indicates that something is scheduled or arranged to originate, start, or be derived from a specified source, time, or condition.
-
E.
plannedWith
Indicates that an entity created or arranged a plan in collaboration or coordination with another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e6a8208190973669cae439a91e |
completed | April 20, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 11:59 a.m.